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Philippines Tropical Cyclone Haiyan (Yolanda) - Impact Assessment

On 8 November 2013, Typhoon Haiyan made landfall in the Philippines causing widespread devastation, tremendous loss of life and catastrophic impact on infrastructure and natural resources.

As a result of the devastating damage to agriculture and fisheries sectors and the severe impact on lives and livelihoods FAO has declared Level 3 Emergency Response. In response to the call for needs assessment and coordinating humanitarian assistance in agriculture and fisheries sectors the FAO, Land and Water Division Geospatial Unit collected a number of datasets from various sources including FAO, WFP, UNITAR-UNOSAT, EC-JRC, USDA, USGS as well as updated reports from national agencies as well as the National Disaster Risk Reduction and Management council.

Severity zones were mapped using data from the EC-JRC updates based on the Public Storm Warning Signals (PSWC) in four main levels: S1-very high for PSWC #1, S2-high for PSWC #2, S3-medium for PSWC #3 and S4-medium-low for PSWC#4. The severity area mask was calibrated using remote sensing data combined with the data reported on November 13, 2013 by the National Disaster Risk Reduction and Management Council of Philippines. The severity intensity rate was classified proportionally with the affected population figures.

The data on crop production, harvested area, yield for major crops were collected from FAO, Global Spatial Database of Agricultural Land-Use Statistics AgroMaps ( http://kids.fao.org/agromaps ), FAOSTAT ( http://faostat.fao.org/ ) and Bureau of Agricultural Statistics of Philippines ( http://countrystat.bas.gov.ph ).

Data on arable land and permanent crops were derived from the FAO Global Land Cover Share database (Beta-version) and data on the area by district were derived by the FAO Global Administrative Units Layer, GAUL version 2013-12 (www.fao.org/geonetwork). In addition data on crop calendars to identify crop growing stage were collected from the FAO-IIASA Global Agro-Ecological Zones Data portal, GAEZ (www.fao.org/nr/gaez) , FAO Crop Calendar from Data@Fao.org ( https://data.apps.fao.org/ ) and FAO Agricultural Market Information System, AMIS ( http://www.amis-outlook.org/ ) .Philippines rice crop calendar was provided by the Philippines Rice Research Institute (PhilRice-DA), International Rice Research Institute (IRRI).

The assessment was done by first georefencing, harmonizing and creating a central database in the UTM WGS 84 reference system. Areas of crop growth stages were analyzed according to their stage at the time of the event. Major season and secondary season for rice were considered for analysis at the time of the event. The areas of standing rice at the moment of the event were mapped using the district level crop calendars for the major season. Also the planted rice areas for the second season were mapped. The affected area was then calculated considering both these areas which were considered as area loss, calibrated by the severity intensity rate class. The extent (ha) and fraction (%) of the potential affected crop areas was calculated by intersecting the tropical cyclone severity areas with the administrative layers, arable land and permanent crops, annual harvested area, yield and production for year 2012 (which was used as a proxy to assess the planted area). Major crops which were affected include Rice Paddy, Coconut and Sugar Cane. The maps show the impacts of the tropical cyclone on these crops. The outputs were classified in 5 classes of affected areas: less the 10%, 10-25%, 25-50%, 50-75%, and >75%. The tabular information provides information on the estimated affected area for Rice Paddy (extent in ha and share in percentage) by Typhoon “YOLANDA” (HAIYAN) severity Level and by District (updated on 15 November 2013). The affected planted areas for each severity zone were calculated as a fraction of the planted area versus by severity zone by administrative unit area. In addition, the analysis was done for major livestock, pig, poultry and cattle, affected population.

Sources: Agromaps, FAOSTAT, CountrySTAT Philippines, GAEZ, AMIS, GLC-SHARE, FAO NRL Geospatial Unit datasets, Data@FAO.ORG , EC-JRC, ESA GlobCover, UNITAR,

UNOSAT, WFP, National Disaster Risk Reduction and Management Council, Republic of Philippines, Philippines rice crop calendar, Philippines Rice Research Institute (PhilRice-DA),

International Rice Research Institute (IRRI) sponsored by the DA-National Rice Program via the Rice Self Sufficiency Program (RSSP) and the Global Rice Science Partnership

(GRiSP), the CGIAR Research Program on Rice.

Simple

Date (Publication)
2013-11-15T12:19:00
Presentation form
Digital map
Purpose

Assessment of the potential affected areas for major crops, livestock, fisheries, food security, mangrove forest and vulnerable populations.

Status
On going
Point of contact
  FAO-NRL - John Latham ( Senior Environment Officer )
Maintenance and update frequency
As needed
Theme
  • damage

  • population

  • affected areas

  • rice

  • coconuts

  • sugarcane

Place
  • Philippines

Access constraints
Copyright
Spatial representation type
Vector
Metadata language

eng

Character set
UTF8
Topic category
  • Environment
  • Farming
  • Society
Begin date
2013-11-08T16:05:00
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Vertical extent

Reference system identifier
WGS 1984
OnLine resource
phl_severity_of_impact_47109 ( OGC:WMS )

Potential severity intensity

OnLine resource
phl_severity_intensity_rate_47109 ( OGC:WMS )

Severity intensity rate

OnLine resource
phl_damage_47109 ( OGC:WMS )

Assessment of damage

OnLine resource
phl_flooded_area_47109 ( OGC:WMS )

Flooded area

OnLine resource
phl_affected_pop_47109 ( OGC:WMS )

Affected population, by district

OnLine resource
phl_damaged_houses_47109 ( OGC:WMS )

Damaged houses, by district

OnLine resource
phl_estimated_standing_rice_area_47109 ( OGC:WMS )

Estimated standing rice area during the cyclone (Season 1)

OnLine resource
phl_potential_affected_areas_rice_47109 ( OGC:WMS )

Potential percentage affected areas for rice, by district

OnLine resource
phl_potential_affected_areas_coconut_47109 ( OGC:WMS )

Potential percentage affected areas for coconut, by district

OnLine resource
phl_potential_affected_areas_sugarcane_47109 ( OGC:WMS )

Potential percentage affected areas for sugar cane, by district

Hierarchy level
Dataset
File identifier
c0d2160c-9b4f-4878-94d0-d46f59bbdd56 XML
Metadata language

eng

Character set
UTF8
Hierarchy level
Dataset
Date stamp
2020-04-14T16:40:16
Metadata standard name

ISO 19115:2003/19139

Metadata standard version

1.0

Point of contact
  FAO-NRL - Renato Cumani ( Land and Water Officer )
Author
  FAO-NRL - Patrizia Monteduro ( Geospatial Data and Metadata Specialist - Consultant )
 
 

Overviews

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Spatial extent

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Keywords

affected areas coconuts damage population rice sugarcane

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